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choose-zoom-approach

Choose the right Zoom architecture for a use case. Use when deciding between REST API, Webhooks, WebSockets, Meeting SDK, Video SDK, Zoom Apps SDK, Zoom MCP, Phone, Contact Center, or a hybrid approach.

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Dépôt
anthropics/knowledge-work-plugins
Dernière activité de la source
9 avril 2026 à 23:28
Langue détectée de SKILL.md
anglais
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29 041
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3 295

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SKILL.md
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name
choose-zoom-approach
description
Choose the right Zoom architecture for a use case. Use when deciding between REST API, Webhooks, WebSockets, Meeting SDK, Video SDK, Zoom Apps SDK, Zoom MCP, Phone, Contact Center, or a hybrid approach.
user-invocable
false
# Choose Zoom Approach Pick the smallest correct Zoom surface for the job, then layer in only the supporting pieces that are actually required. ## Decision Framework | Problem Type | Primary Zoom Surface | |---|---| | Deterministic backend automation, account management, reporting, scheduled jobs | [rest-api](../rest-api/SKILL.md) | | Event delivery to your backend | [webhooks](../webhooks/SKILL.md) or [websockets](../websockets/SKILL.md) | | Embed Zoom meetings into your app | [meeting-sdk](../meeting-sdk/SKILL.md) | | Build a fully custom video experience | [video-sdk](../video-sdk/SKILL.md) | | Build inside the Zoom client | [zoom-apps-sdk](../zoom-apps-sdk/SKILL.md) | | AI-agent tool workflows over Zoom data | [zoom-mcp](../zoom-mcp/SKILL.md) | | Real-time media extraction or meeting bots | [rtms](../rtms/SKILL.md) plus [meeting-sdk](../meeting-sdk/SKILL.md) when needed | | Phone workflows | [phone](../phone/SKILL.md) | | Contact Center or Virtual Agent flows | [contact-center](../contact-center/SKILL.md) or [virtual-agent](../virtual-agent/SKILL.md) | ## Guardrails - Do not recommend Video SDK when the user actually needs Zoom meeting semantics. - Do not recommend Meeting SDK when the user needs a fully custom session product. - Do not replace deterministic backend automation with MCP-only guidance. - Prefer hybrid `rest-api + zoom-mcp` when the user needs both stable system actions and AI-driven discovery. ## What To Produce - One recommended path - Minimum supporting components - Hard constraints and tradeoffs - Immediate next implementation step
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